Double-edged Sword: Challenges and Opportunities for the Fairness of Female Athletes in the Era of Artificial Intelligence
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Keywords
artificial intelligence, gender equality, algorithmic bias, data ethics, women’s sports
Abstract
The penetration of artificial intelligence (AI) technology in the sports field is reshaping athletes’ training, evaluation, media presentation, and commercial value with unprecedented depth and breadth. However, this technological innovation is not value-neutral and may have divergent effects on athletes of different genders. This article explores the dual impact of AI on fairness for female athletes. By analyzing existing literature, this study identifies algorithmic discrimination from historical data bias, AI-driven media stereotypes, and ethical risks from biometric monitoring as primary challenges. Conversely, AI also presents significant opportunities to counteract bias through objective performance analysis, personalized training tailored to female physiology, and enhanced fan engagement. We conclude that to ensure AI promotes gender equality in sports, proactive interventions in algorithm design, data governance, and ethical standards are imperative.
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